Detecting breaks on the long memory: a case about the brazilian unemployment

Detalhes bibliográficos
Autor(a) principal: Lima, Robson Oliveira
Data de Publicação: 2015
Outros Autores: Oliveira, Jailson Conceição Teixeira de, Silva, Murilo Massaru da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Economia Aplicada
Texto Completo: https://www.revistas.usp.br/ecoa/article/view/110726
Resumo: This study analyzed the dynamic behavior of the Brazilian unemployment rate, focusing on the persistence level of the series. For this purpose, it was adopted first models of fractionary integration, besides persistence change tests for the series. The first results indicated a non-stationary behavior of the series. However, knowing that neglecting a structural break can cause a bias on the parameter estimative, new estimations were made, which results indicated that the unemployment rate presents two different levels of persistence. On the first level, the series is no-stationary, whereas in the second, it is also non-stationary, but it presents a mean reversion feature
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spelling Detecting breaks on the long memory: a case about the brazilian unemploymentDetectando quebra na longa memória: um caso do desemprego brasileiroPersistênciamercado de trabalhoinformalidadePersistencelabor marketinformalityThis study analyzed the dynamic behavior of the Brazilian unemployment rate, focusing on the persistence level of the series. For this purpose, it was adopted first models of fractionary integration, besides persistence change tests for the series. The first results indicated a non-stationary behavior of the series. However, knowing that neglecting a structural break can cause a bias on the parameter estimative, new estimations were made, which results indicated that the unemployment rate presents two different levels of persistence. On the first level, the series is no-stationary, whereas in the second, it is also non-stationary, but it presents a mean reversion featureEste estudo analisou o comportamento dinâmico da taxa de desemprego brasileiro focando no nível de persistência da série. Sendo assim, foram utilizados num primeiro momento modelos de integração fracionária e testes de mudança de persistência da série. Os primeiros resultados exibiram um comportamento não estacionário da série. Contudo, sabendo que o negligenciamento de quebra estrutural pode levar a viés na estimativa do parâmetro fracionário, novas estimativas foram realizadas com os resultados indicando que a taxa de desemprego possui dois diferentes níveis de persistência. No primeiro, a série é não estacionária, enquanto que no segundo, não estacionária, mas com reversão à média.Universidade de São Paulo, FEA-RP/USP2015-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/ecoa/article/view/11072610.11606/1413-8050/ea127256Economia Aplicada; Vol. 19 No. 4 (2015); 611-624Economia Aplicada; Vol. 19 Núm. 4 (2015); 611-624Economia Aplicada; v. 19 n. 4 (2015); 611-6241980-53301413-8050reponame:Economia Aplicadainstname:Universidade de São Paulo (USP)instacron:USPporhttps://www.revistas.usp.br/ecoa/article/view/110726/109152Copyright (c) 2016 Economia Aplicadainfo:eu-repo/semantics/openAccessLima, Robson OliveiraOliveira, Jailson Conceição Teixeira deSilva, Murilo Massaru da2020-08-03T15:53:44Zoai:revistas.usp.br:article/110726Revistahttps://www.revistas.usp.br/ecoaPUBhttps://www.revistas.usp.br/ecoa/oai||revecap@usp.br1980-53301413-8050opendoar:2023-09-13T12:17:04.556653Economia Aplicada - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Detecting breaks on the long memory: a case about the brazilian unemployment
Detectando quebra na longa memória: um caso do desemprego brasileiro
title Detecting breaks on the long memory: a case about the brazilian unemployment
spellingShingle Detecting breaks on the long memory: a case about the brazilian unemployment
Lima, Robson Oliveira
Persistência
mercado de trabalho
informalidade
Persistence
labor market
informality
title_short Detecting breaks on the long memory: a case about the brazilian unemployment
title_full Detecting breaks on the long memory: a case about the brazilian unemployment
title_fullStr Detecting breaks on the long memory: a case about the brazilian unemployment
title_full_unstemmed Detecting breaks on the long memory: a case about the brazilian unemployment
title_sort Detecting breaks on the long memory: a case about the brazilian unemployment
author Lima, Robson Oliveira
author_facet Lima, Robson Oliveira
Oliveira, Jailson Conceição Teixeira de
Silva, Murilo Massaru da
author_role author
author2 Oliveira, Jailson Conceição Teixeira de
Silva, Murilo Massaru da
author2_role author
author
dc.contributor.author.fl_str_mv Lima, Robson Oliveira
Oliveira, Jailson Conceição Teixeira de
Silva, Murilo Massaru da
dc.subject.por.fl_str_mv Persistência
mercado de trabalho
informalidade
Persistence
labor market
informality
topic Persistência
mercado de trabalho
informalidade
Persistence
labor market
informality
description This study analyzed the dynamic behavior of the Brazilian unemployment rate, focusing on the persistence level of the series. For this purpose, it was adopted first models of fractionary integration, besides persistence change tests for the series. The first results indicated a non-stationary behavior of the series. However, knowing that neglecting a structural break can cause a bias on the parameter estimative, new estimations were made, which results indicated that the unemployment rate presents two different levels of persistence. On the first level, the series is no-stationary, whereas in the second, it is also non-stationary, but it presents a mean reversion feature
publishDate 2015
dc.date.none.fl_str_mv 2015-12-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/ecoa/article/view/110726
10.11606/1413-8050/ea127256
url https://www.revistas.usp.br/ecoa/article/view/110726
identifier_str_mv 10.11606/1413-8050/ea127256
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.revistas.usp.br/ecoa/article/view/110726/109152
dc.rights.driver.fl_str_mv Copyright (c) 2016 Economia Aplicada
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 Economia Aplicada
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo, FEA-RP/USP
publisher.none.fl_str_mv Universidade de São Paulo, FEA-RP/USP
dc.source.none.fl_str_mv Economia Aplicada; Vol. 19 No. 4 (2015); 611-624
Economia Aplicada; Vol. 19 Núm. 4 (2015); 611-624
Economia Aplicada; v. 19 n. 4 (2015); 611-624
1980-5330
1413-8050
reponame:Economia Aplicada
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Economia Aplicada
collection Economia Aplicada
repository.name.fl_str_mv Economia Aplicada - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||revecap@usp.br
_version_ 1800221695519227904

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